Triple
T861395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Struggle |
E18604
|
entity |
| Predicate | publicationDateOfOriginalWork |
P25
|
FINISHED |
| Object | 1925 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1925 | Statement: [My Struggle, publicationDateOfOriginalWork, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationDateOfOriginalWork Context triple: [My Struggle, publicationDateOfOriginalWork, 1925]
-
A.
publicationYear
chosen
Indicates the specific calendar year in which a work was formally published or released.
-
B.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
-
C.
publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
-
D.
placeOfFirstPublication
Indicates the location where a work was first published or made publicly available.
-
E.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6631408190a19b83126fa86100 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.